Title :
Depth map extraction based on geometry
Author :
Zhao, Difan ; Ren, Yannan ; Sun, Jiande ; Liu, Wei ; Liu, Ju
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Abstract :
This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a `scalar´ to measure the depth value of the foreground object. Finally, the depth map of the foreground and the background are integrated into one depth map by a depth fusion algorithm.
Keywords :
geometry; image fusion; 2D image; depth fusion algorithm; depth map extraction; geometric information; geometry; predominant lines; Data mining; Educational institutions; Geometry; Heuristic algorithms; Image edge detection; Legged locomotion; Three dimensional displays; 2D to 3D; Dept; Geometry;
Conference_Titel :
Southeastcon, 2012 Proceedings of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-1374-2
DOI :
10.1109/SECon.2012.6197062